47 citations · 157 across the 13 of their papers we have counts for
13 papers
Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching
Francesco Manigrasso, Lia Morra, Fabrizio Lamberti
Neuro-symbolic integration aims at harnessing the power of symbolic knowledge representation combined with the learning capabilities of deep neural networks. In particular, Logic T…
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification
Luca Piano, Filippo Gabriele Pratticò, Alessandro Sebastian Russo +3
Instance-level object re-identification is a fundamental computer vision task, with applications from image retrieval to intelligent monitoring and fraud detection. In this work, w…
Digital Twins for Industry 4.0 in the 6G Era
Bin Han, Mohammad Asif Habibi, Bjoern Richerzhagen +10
Having the Fifth Generation (5G) mobile communication system recently rolled out in many countries, the wireless community is now setting its eyes on the next era of Sixth Generati…
Faster-LTN: a neuro-symbolic, end-to-end object detection architecture
Francesco Manigrasso, Filomeno Davide Miro, Lia Morra +1
The detection of semantic relationships between objects represented in an image is one of the fundamental challenges in image interpretation. Neural-Symbolic techniques, such as Lo…
Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations
Sina Famouri, Lia Morra, Leonardo Mangia +1
In this work we study the impact of noise on the training of object detection networks for the medical domain, and how it can be mitigated by improving the training procedure. Anno…
Training Medical Communication Skills with Virtual Patients: Literature Review and Directions for Future Research
Edoardo Battegazzorre, Andrea Bottino, Fabrizio Lamberti
Effective communication is a crucial skill for healthcare providers since it leads to better patient health, satisfaction and avoids malpractice claims. In standard medical educati…
Comparing State-of-the-Art and Emerging Augmented Reality Interfaces for Autonomous Vehicle-to-Pedestrian Communication
F. Gabriele Pratticò, Fabrizio Lamberti, Alberto Cannavò +2
Providing pedestrians and other vulnerable road users with a clear indication about a fully autonomous vehicle status and intentions is crucial to make them coexist. In the last fe…
An Evaluation Testbed for Locomotion in Virtual Reality
Alberto Cannavò, Davide Calandra, F. Gabriele Pratticò +2
A common operation performed in Virtual Reality (VR) environments is locomotion. Although real walking can represent a natural and intuitive way to manage displacements in such env…
Mixed-Reality Robotic Games: Design Guidelines for Effective Entertainment with Consumer Robots
F. Gabriele Pratticò, Fabrizio Lamberti
In recent years, there has been an increasing interest in the use of robotic technology at home. A number of service robots appeared on the market, supporting customers in the exec…
Object Tracking through Residual and Dense LSTMs
Fabio Garcea, Alessandro Cucco, Lia Morra +1
Visual object tracking task is constantly gaining importance in several fields of application as traffic monitoring, robotics, and surveillance, to name a few. Dealing with changes…
Bridging the gap between Natural and Medical Images through Deep Colorization
Lia Morra, Luca Piano, Fabrizio Lamberti +1
Deep learning has thrived by training on large-scale datasets. However, in many applications, as for medical image diagnosis, getting massive amount of data is still prohibitive du…
Slicing and dicing soccer: automatic detection of complex events from spatio-temporal data
Lia Morra, Francesco Manigrasso, Giuseppe Canto +3
The automatic detection of events in sport videos has im-portant applications for data analytics, as well as for broadcasting andmedia companies. This paper presents a comprehensiv…
Benchmarking unsupervised near-duplicate image detection
Lia Morra, Fabrizio Lamberti
Unsupervised near-duplicate detection has many practical applications ranging from social media analysis and web-scale retrieval, to digital image forensics. It entails running a t…